This video present project on automated tablet inspection using the Keyence VS-L160CX industrial machine vision system. The goal of the project is to demonstrate how AI-assisted machine vision can enhance quality control in the pharmaceutical industry by identifying shape defects, cracks, coating inconsistencies, and color deviations with high accuracy. Throughout this presentation, we explain: 🔹 Why automated visual inspection is essential in pharmaceutical manufacturing 🔹 How the Keyence VS-L160CX camera captures and analyzes tablet images 🔹 The role of ShapeTrax, Defect Detection, Area Measurement, and Color Analysis 🔹 Complete workflow: image capture → preprocessing → feature extraction → PASS/FAIL classification 🔹 Results from reference tablets, individual samples, and batch inspections 🔹 Strengths, limitations, and industrial applicability of the system 🔹 Future improvements using deep learning and robotic automation This project demonstrates how machine vision and AI support Industry 4.0 by delivering accurate, fast, and repeatable inspection results suitable for high-throughput environments. Thank you for watching!